Senior AI Engineer — Generative AI & Agentic Systems

Nimble Gravity; United States; Hybrid; USD 180,000 - 260,000; Full time

Job summary

Nimble Gravity is seeking a Sr AI Engineer to advance generative AI and agentic systems for diverse clients. You will design and deploy production-grade AI solutions focusing on LLMs, RAG, embeddings, and orchestration.

You’ll collaborate with product, data, and engineering teams to own end-to-end AI features, evaluate foundation models, and iterate on scalable cloud-enabled architectures.

Qualifications

• Deep experience in AI engineering with production-scale solutions.
• Generative AI focus: LLMs, RAG, embeddings, agents, and AI orchestration.
• Strong Python skills with modern ML/AI libraries.
• Experience on Azure, AWS, GCP, Databricks or similar.
• Solid foundation in data science, experimentation, and statistics.
• Ability to work with structured and unstructured data (text, images, etc.).
• Builder mindset: hands-on, curious, adaptable, proactive.

Responsibilities

• Design, build, and deploy advanced AI solutions using LLMs, RAG, embeddings, vector databases, semantic search, and agentic architectures.
• Develop intelligent systems to process documents, retrieve knowledge, generate content, automate workflows, and transform data into insights.
• Collaborate with teams to define technical approaches and deliver high-impact AI solutions.
• Experiment with foundation models, prompts, retrieval strategies, orchestration patterns, and optimization techniques.
• Stay engaged with the GenAI ecosystem and bring new tools into real-world applications.

Skills

AI/ML engineering

Generative AI

Python

Cloud platforms

Data science

Unstructured data

Communication

Builder mindset

Education

Master's degree in CS/AI

Advanced degree in CS/AI

Tools

LangChain

LangGraph

HuggingFace

PyTorch

MCP

Multi-agent frameworks

Cloud-native AI services

Job description

Nimble Gravity is seeking a Sr AI Engineer to advance generative AI and agentic systems for diverse clients. You will design and deploy production-grade AI solutions focusing on LLMs, RAG, embeddings, and orchestration.

You’ll collaborate with product, data, and engineering teams to own end-to-end AI features, evaluate foundation models, and iterate on scalable cloud-enabled architectures.